Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis.
Samaneh Mohtadi|Gianluca Demartini
| Anthology ID: | DBLP:conf/ecir/MohtadiD26 |
|---|---|
| Volume: | Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II |
| Year: | 2026 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 88-103 |
| URL: | https://doi.org/10.1007/978-3-032-21300-6_6 |
| DOI: | https://doi.org/10.1007/978-3-032-21300-6_6 |
| DBLP: | conf/ecir/MohtadiD26 |
| BibTeX: |
@inproceedings{mohtadi-2026-querydocument,
author = {Samaneh Mohtadi and
Gianluca Demartini},
editor = {Ricardo Campos and
Adam Jatowt and
Yanyan Lan and
Mohammad Aliannejadi and
Christine Bauer and
Sean MacAvaney and
Avishek Anand and
Zhaochun Ren and
Suzan Verberne and
Nan Bai and
Masoud Mansoury},
title = {{Query-Document Dense Vectors for LLM Relevance Judgment Bias Analysis}},
booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {16484},
pages = {88--103},
publisher = {Springer},
year = {2026},
url = {https://doi.org/10.1007/978-3-032-21300-6_6},
doi = {https://doi.org/10.1007/978-3-032-21300-6_6}
}